Automated Detection of Radiology Reports that Require Follow-up Imaging Using Natural Language Processing Feature Engineering and Machine Learning Classification.

Lou, Robert; Lalevic, Darco; Chambers, Charles; Zafar, Hanna M; Cook, Tessa S

Lou, Robert; Lalevic, Darco; Chambers, Charles; Zafar, Hanna M; Cook, Tessa S.

Afiliação

Lou R; Perelman School of Medicine at the University of Pennsylvania, 801 S 24th St #3, Philadelphia, PA, 19146, USA. robert.lou@pennmedicine.upenn.edu.
Lalevic D; Hospital of the University of Pennsylvania, Philadelphia, PA, USA.
Chambers C; Hospital of the University of Pennsylvania, Philadelphia, PA, USA.
Zafar HM; Hospital of the University of Pennsylvania, Philadelphia, PA, USA.
Cook TS; Hospital of the University of Pennsylvania, Philadelphia, PA, USA.

J Digit Imaging ; 33(1): 131-136, 2020 02.

Article em En | MEDLINE | ID: mdl-31482317

Assuntos

Processamento de Linguagem Natural; Radiologia; Teorema de Bayes; Seguimentos; Humanos; Aprendizado de Máquina

Palavras-chave

Artificial intelligence; Binary classification; Follow-up; Machine learning; Natural language processing; Structured reporting

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Radiologia / Processamento de Linguagem Natural Tipo de estudo: Diagnostic_studies / Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article

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